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The membership function can exactly express the fuzzy satisfaction set by considering the vagueness of satisfaction degree of objectives and introducing the membership function for the fuzzy satisfaction sets of system reliability and system cost. The normal distribution and Cauchy distribution of this membership function is modified according to the fuzzy satisfaction sets. By doing this, the multi-objective optimization problem can be converted to a single-objective optimization problem to be solved.

模型充分考虑到目标满意度的模糊性,通过引入系统可靠度与费用的模糊满意集的隶属函数,并根据它们的模糊满意集对其正态分布、柯西分布进行适当修改,使之能够准确表达通常情况下的这两个目标的模糊满意集,最终,把两目标优化问题转化为常规单目标优化问题求解。

Based on the simple global noise source, take the noise which is cared by people into account. Get the sound pressure level after processing the noise sources sound pressure. Educe the allowable value of the upper limit, through linking to the sound pressure level which is permitted. Taking the value into the reliability modals established before, found the diplex integral mathematics modals that is restricted.

考虑约束因素的影响,引入人们所关心的噪声,以结构简单的球形声源为基础,在对声源声压做了相对处理后,得到其声压级,结合许用声压级指标,求得许用频率上限值,将该值代入已建立的防共振模糊可靠度模型,建立有约束防共振模糊可靠度计算的双重积分数学模型。

Using the fuzzy membership model based on support vector data description, the membership values to each input sample is computed according to its distance to the center of the hypersphere with minimal volume containing all objects.

利用一种基于支持向量数据域描述的模糊隶属度函数模型,根据样本到特征空间最小包含超球球心的距离来确定模糊隶属度。

First, we propose two kinds of algorithms, the nearness measure and the majority rule, to aggregate the expert's individual fuzzy evaluations into a group fuzzy preference relation.

首先给出两种具体算法:贴近度法和多数规则法,将专家对方案集的个体模糊偏好判断集结成群体模糊序关系;证明了贴近度法比多数规则法更有实用价值。

Available features: Auto-Trim, Crop, Deskew, Flip, Mirror, Resample, Resize, Rotate, Shear, Add Noise, Anti-Alias, Average, Bending, Border Remove, Brightness, Buttonize, Color Resolution, Colored Gray, Contour, Contrast, Cylindrical, Despeckle, Dilate, Dot Remove, DPI Resolution, Edge Detector, Emboss, Erode, Etch, Gamma Correct, Gaussian Blur, Glow, Gradient, Grayscale, Half-Tone, HistoContrast, Hole Punch Remove, Hue, Impressionist, Intensity Detect, Invert, Invert Text, Laplacian, Line Remove, Line Segment, Max Filter, Median, Min Filter, Mosaic, Motion Blur, Multiply, Oilify, Old Photo, Pixelate, Polar, Posterize, Prewitt, Punch, Radial Wave, Ripple, Saturation, Sharpen, Smooth, Sobel, Solarize, Swirl, Unsharp, Wave, and more!

可用的功能:自动修剪,作物, deskew ,倒装,是一面镜子,重新取样,大小,旋转,剪切,添加噪音,抗混叠,平均而言,弯曲,边界消除,亮度, buttonize ,色彩解析度,色灰,轮廓,对比度,圆筒形, despeckle ,扩张,点删除, dpi解析度,边缘检测, emboss ,侵蚀,腐蚀, Gamma修正,高斯模糊,辉光,梯度,灰阶,半色调, histocontrast ,孔冲床删除,色调,印象派,强度检测,反转,反转文本,拉普拉斯,删除线,线段,最高过滤器,中位数,闵过滤器,马赛克,运动模糊,乘, oilify ,旧照片, pixelate ,极地, posterize , prewitt ,冲床,径向波,涟漪,饱和度,锐化,平滑,索贝尔,曝光,漩涡,锐化,波浪,及其他更多功能!

Combining with capital structure theory such as MM theorem, we apply fuzzy option based VaR measure to arrangement for corporate capital structure.

在隶属度为1的情况下,北京市市政债券适度发债规模约为110亿元,隶属度为0.7时,为寻求绝对安全,发债规模以不超过100亿元为宜。该结果具有弹性,利于决策高层决策。 7。在非统一理性的基本框架下,将模糊期权应用于VAR方法,建立了基于模糊期权的VaR测度,并以该测度为工具,结合现代资本结构理论如MM定理,运用于公司资本的确定以及资本结构安排。

The triangular membership function is built up to describe the fuzzy relation among evaluation factors and importance grades and the unlikelihood extent of fuzzy relation is described by leading in gray scale value of pixel .

通过三角隶属度函数来描述评判因素与重要性等级间的模糊关系,并引入点灰度来描述模糊关系的不可信程度。

Firstly applying the notion of appropinquity in fuzzy mathematics to solve the scientific choice of optional instances. Secondly using synthetical judge to confirm the amendatory coefficient of territorial and separate factor. Lastly applying appropinquity and choosing close principle again to rationally confirm the appraisal result.

1应用模糊数学的贴近度概念来解决市场比较法应用中的可比实例的科学选择问题,用模糊数学的综合评判法来确定区域因素和个别因素修正系数,最后再次应用贴近度和择近原则较科学地解决了估价结果的合理确定问题。

Embedding the gradient direction search and new kinds of evaluation functions into the Genetic Algorithm, a special hybrid Genetic Algorithm with mutation along the weighted gradient direction to solve non-linear programming problems is developed. Then in Chapt 4, a type of nonlinear programming problems with fuzzy objective and fuzzy resources constraints is discussed, in which the objective is ill-defined and the resources possess two different types of fuzzy resources, i. e., tolerance and imprecision. By way of description and formulation of fuzzy objective and fuzzy resources, the problem with fuzzy objective and two different types of fuzzy resources is modelled into a fuzzy nonlinear programming model FO/RNLP and interpreted as three equivalent alternative crisp model to reflect the variety of the environment and the subjective and preference of the decision maker .

本文首先针对遗传算法在求解非线性规划问题中存在的问题,首次提出非可行点/染色体的主导准可行方向,准可行方向,及非可行点属于可行域的可行度等新概念,借助于模糊思想,提出了描述和度量非可行染色体的新方法;通过嵌入非可行染色体的信息于评价函数中,提出了三种新的评价非可行染色体的评价函数;把传统的启发式方法-梯度方向搜索和新的评价函数嵌入到遗传算法中,提出了一种沿加权梯度方向变异的新型混合式遗传算法;第四章针对生产实际中非清晰定义的模糊目标和两种类型的模糊资源,建立了一类连续型模糊目标/资源约束非线性规划问题的模型FO/RNLP。

The paper bases on competency including personality, attitude, knowledge and skill of competency and so on. It adopts qualitative index and quantitative index and assesses the attitude, achievement, ability and potential across-the-aboard. The paper draws on fuzzy synthesis decision, analytic hierarchy process, fuzzy approximation and factors weight design and so on in fuzzy mathematic by dint of the research about management by objective, 360 degree feedback, key process indication and balance score card. We establish performance assessment index based on competency model and distribute different weigh. We can set the weight of different assessment index. At the same time, we must set assessment relation and corresponding weight considering different people. We also assign different weight to every assessment factors according to the require of corporation. Then we can go on assessing more particularly and compressively.

本论文基于能力素质模型,包括能力的人格、态度、知识和技能等要素,采用定性指标和定量指标,对员工的工作态度、业绩、能力和潜力进行全面考核,通过对目标管理、360度反馈评价法、关键绩效指标和平衡记分卡等考核方法的研究,独创引入模糊数学中的综合评定法、层次分析法、模糊贴近度以及要素权重设计等方法,以能力素质特征模型为基础确立绩效考核指标,利用主观经验法、层次分析法等确定各考核指标的权重,同时考虑到企业中不同人员的考核,还需要定出考核关系及其权重,同时还可以根据企业要求为各考核要素分配权重,这样更详细、更全面的进行考核,并借助软件工程,利用UML建模语言把整个软件系统化、模型化,采用。

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